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Fix categorize_transactions to account for variations in LLM response, added docs #7

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Fix categorize_transactions to account for variations in LLM response, added docs #7

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c712051
Fix categorize_transactions to account for variations in LLM response
varunsharma27 Oct 11, 2024
6591014
Added install instructions with pictures
varunsharma27 Oct 11, 2024
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1 change: 1 addition & 0 deletions .gitignore
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venv
27 changes: 27 additions & 0 deletions How_To_Run.md
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# Prerequisites:
- [Git](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
- [Python](https://www.python.org/downloads/)
- [Ollama](https://github.com/ollama/ollama?tab=readme-ov-file)
- [VSCode](https://code.visualstudio.com/download)

# Setup

```zsh
git clone [email protected]:thu-vu92/local-llms-analyse-finance.git

cd local-llms-analyse-finance && code .

# Once opened in VSCode, Install any extenstions recommended for Jupyter and Python.

# Might serve you better to setup a python virtual env for the project
python3 -m venv venv && source venv/bin/activate
pip3 install pydantic pandas
```

- Select the newly created python environment at top right of the Jupyter file in VSCode.
![Select virtual env](./screenshots/select_kernel.png)

- "Run All" in categorize_expenses_with_validation.ipynb file. You might have to uncomment the top pip3 install line since you're likely to lack the dependencies (same for other files).
![Run all](./screenshots/run_all.png)

- Now that the categorized transactions are generated, 'Run All' in dashboard.ipynb (be mindful of dependencies) and your dashboard should be up and launch on local browser.
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